支持DeepSeek

This commit is contained in:
2025-12-10 16:24:06 +08:00
parent ff3ec65139
commit a53bf1d6e4
5 changed files with 363 additions and 560 deletions
+91 -123
View File
@@ -1,73 +1,66 @@
import Anthropic from '@anthropic-ai/sdk';
import type { Tool, ToolResult, Message, AgentConfig } from '../types/index.js';
import { createAnthropic } from '@ai-sdk/anthropic';
import { createDeepSeek } from '@ai-sdk/deepseek';
import { generateText, streamText, type ModelMessage, type Tool as AITool, type LanguageModel } from 'ai';
import type { Tool, ToolResult, Message, AgentConfig, ProviderType } from '../types/index.js';
import { buildZodSchema } from '../types/index.js';
// Provider 工厂函数类型
type ProviderFactory = (apiKey: string) => (model: string) => LanguageModel;
// Provider 注册表
const providers: Record<ProviderType, ProviderFactory> = {
anthropic: (apiKey) => {
const client = createAnthropic({ apiKey });
return (model) => client(model);
},
deepseek: (apiKey) => {
const client = createDeepSeek({ apiKey });
return (model) => client(model);
},
};
export class Agent {
private client: Anthropic;
private getModel: (model: string) => LanguageModel;
private config: AgentConfig;
private tools: Map<string, Tool> = new Map();
private conversationHistory: Message[] = [];
private conversationHistory: ModelMessage[] = [];
constructor(config: AgentConfig) {
this.config = config;
this.client = new Anthropic({
apiKey: config.apiKey,
});
const providerFactory = providers[config.provider];
if (!providerFactory) {
throw new Error(`不支持的 provider: ${config.provider}`);
}
this.getModel = providerFactory(config.apiKey);
}
// 注册工具
registerTool(tool: Tool): void {
this.tools.set(tool.name, tool);
registerTool(customTool: Tool): void {
this.tools.set(customTool.name, customTool);
}
// 获取所有工具定义(用于 Claude API)
private getToolDefinitions(): Anthropic.Tool[] {
return Array.from(this.tools.values()).map((tool) => ({
name: tool.name,
description: tool.description,
input_schema: {
type: 'object' as const,
properties: Object.fromEntries(
Object.entries(tool.parameters).map(([key, param]) => [
key,
{
type: param.type,
description: param.description,
},
])
),
required: Object.entries(tool.parameters)
.filter(([, param]) => param.required)
.map(([key]) => key),
},
}));
}
// 将自定义工具转换为 Vercel AI SDK 的工具格式
private getVercelTools(): Record<string, AITool> {
const vercelTools: Record<string, AITool> = {};
// 执行工具
private async executeTool(
toolName: string,
input: Record<string, unknown>
): Promise<ToolResult> {
const tool = this.tools.get(toolName);
if (!tool) {
return {
success: false,
output: '',
error: `Tool "${toolName}" not found`,
};
for (const [name, customTool] of this.tools) {
const schema = buildZodSchema(customTool.parameters);
vercelTools[name] = {
description: customTool.description,
inputSchema: schema,
execute: async (params) => {
const result = await customTool.execute(params as Record<string, unknown>);
return result;
},
} as AITool;
}
try {
return await tool.execute(input);
} catch (error) {
return {
success: false,
output: '',
error: error instanceof Error ? error.message : String(error),
};
}
return vercelTools;
}
// 发送消息并处理响应
// 发送消息并处理响应(流式)
async chat(
userMessage: string,
onStream?: (text: string) => void
@@ -78,84 +71,52 @@ export class Agent {
content: userMessage,
});
const messages: Anthropic.MessageParam[] = this.conversationHistory.map(
(msg) => ({
role: msg.role,
content: msg.content,
})
);
const vercelTools = this.getVercelTools();
let fullResponse = '';
// 循环处理,直到没有工具调用
while (true) {
const response = await this.client.messages.create({
model: this.config.model,
max_tokens: this.config.maxTokens,
if (onStream) {
// 流式模式
const result = streamText({
model: this.getModel(this.config.model),
system: this.config.systemPrompt,
tools: this.getToolDefinitions(),
messages,
});
// 处理响应内容
const textBlocks: string[] = [];
const toolUseBlocks: Anthropic.ToolUseBlock[] = [];
for (const block of response.content) {
if (block.type === 'text') {
textBlocks.push(block.text);
if (onStream) {
onStream(block.text);
messages: this.conversationHistory,
tools: vercelTools,
maxOutputTokens: this.config.maxTokens,
onChunk: ({ chunk }) => {
if (chunk.type === 'tool-call') {
onStream(`\n[调用工具: ${chunk.toolName}]\n`);
} else if (chunk.type === 'tool-result') {
const output = (chunk as { output?: ToolResult }).output;
if (output && typeof output === 'object') {
if (output.success) {
onStream(`[结果: ${output.output}]\n`);
} else {
onStream(`[错误: ${output.error}]\n`);
}
}
}
} else if (block.type === 'tool_use') {
toolUseBlocks.push(block);
}
}
fullResponse += textBlocks.join('');
// 如果没有工具调用,结束循环
if (toolUseBlocks.length === 0) {
break;
}
// 添加 assistant 消息
messages.push({
role: 'assistant',
content: response.content,
},
});
// 处理工具调用
const toolResults: Anthropic.ToolResultBlockParam[] = [];
for (const toolUse of toolUseBlocks) {
if (onStream) {
onStream(`\n[调用工具: ${toolUse.name}]\n`);
}
const result = await this.executeTool(
toolUse.name,
toolUse.input as Record<string, unknown>
);
if (onStream) {
onStream(
result.success ? `[结果: ${result.output}]\n` : `[错误: ${result.error}]\n`
);
}
toolResults.push({
type: 'tool_result',
tool_use_id: toolUse.id,
content: result.success ? result.output : `Error: ${result.error}`,
});
// 流式输出文本
for await (const chunk of result.textStream) {
fullResponse += chunk;
onStream(chunk);
}
// 添加工具结果
messages.push({
role: 'user',
content: toolResults,
// 等待完成
await result.response;
} else {
// 非流式模式
const result = await generateText({
model: this.getModel(this.config.model),
system: this.config.systemPrompt,
messages: this.conversationHistory,
tools: vercelTools,
maxOutputTokens: this.config.maxTokens,
});
fullResponse = result.text;
}
// 保存助手响应到历史
@@ -174,6 +135,13 @@ export class Agent {
// 获取对话历史
getHistory(): Message[] {
return [...this.conversationHistory];
return this.conversationHistory
.filter((msg): msg is ModelMessage & { role: 'user' | 'assistant' } =>
msg.role === 'user' || msg.role === 'assistant'
)
.map((msg) => ({
role: msg.role,
content: typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content),
}));
}
}
+53 -8
View File
@@ -1,37 +1,45 @@
import { z } from 'zod';
// 消息类型
export interface Message {
role: 'user' | 'assistant';
content: string;
}
// 工具定义
export interface Tool {
name: string;
description: string;
parameters: Record<string, ToolParameter>;
execute: (params: Record<string, unknown>) => Promise<ToolResult>;
}
// 工具参数定义
export interface ToolParameter {
type: 'string' | 'number' | 'boolean' | 'array' | 'object';
description: string;
required?: boolean;
}
// 工具执行结果
export interface ToolResult {
success: boolean;
output: string;
error?: string;
}
// 工具定义(兼容 Vercel AI SDK 的 tool 格式)
export interface Tool {
name: string;
description: string;
parameters: Record<string, ToolParameter>;
execute: (params: Record<string, unknown>) => Promise<ToolResult>;
}
// 工具调用请求
export interface ToolCall {
name: string;
input: Record<string, unknown>;
}
// 支持的 Provider 类型
export type ProviderType = 'anthropic' | 'deepseek';
// Agent 配置
export interface AgentConfig {
provider: ProviderType;
apiKey: string;
model: string;
maxTokens: number;
@@ -43,3 +51,40 @@ export interface ConversationContext {
messages: Message[];
workingDirectory: string;
}
// 将自定义 Tool 转换为 Vercel AI SDK 的 zod schema
export function buildZodSchema(parameters: Record<string, ToolParameter>): z.ZodObject<Record<string, z.ZodTypeAny>> {
const schemaObj: Record<string, z.ZodTypeAny> = {};
for (const [key, param] of Object.entries(parameters)) {
let fieldSchema: z.ZodTypeAny;
switch (param.type) {
case 'string':
fieldSchema = z.string().describe(param.description);
break;
case 'number':
fieldSchema = z.number().describe(param.description);
break;
case 'boolean':
fieldSchema = z.boolean().describe(param.description);
break;
case 'array':
fieldSchema = z.array(z.unknown()).describe(param.description);
break;
case 'object':
fieldSchema = z.record(z.string(), z.unknown()).describe(param.description);
break;
default:
fieldSchema = z.unknown().describe(param.description);
}
if (!param.required) {
fieldSchema = fieldSchema.optional();
}
schemaObj[key] = fieldSchema;
}
return z.object(schemaObj);
}
+73 -21
View File
@@ -1,17 +1,25 @@
import * as fs from 'fs';
import * as path from 'path';
import * as os from 'os';
import type { AgentConfig } from '../types/index.js';
import type { AgentConfig, ProviderType } from '../types/index.js';
const CONFIG_DIR = path.join(os.homedir(), '.ai-terminal-assistant');
const CONFIG_FILE = path.join(CONFIG_DIR, 'config.json');
interface StoredConfig {
provider?: ProviderType;
apiKey?: string;
deepseekApiKey?: string;
model?: string;
maxTokens?: number;
}
// 默认模型配置
const DEFAULT_MODELS: Record<ProviderType, string> = {
anthropic: 'claude-sonnet-4-20250514',
deepseek: 'deepseek-chat',
};
// 默认系统提示词
const DEFAULT_SYSTEM_PROMPT = `你是一个运行在终端中的 AI 编程助手。你可以帮助用户:
- 读取和写入文件
@@ -29,12 +37,14 @@ const DEFAULT_SYSTEM_PROMPT = `你是一个运行在终端中的 AI 编程助手
// 加载配置
export function loadConfig(): AgentConfig {
// 优先从环境变量获取
const apiKey = process.env.ANTHROPIC_API_KEY;
const model = process.env.AI_MODEL || 'claude-sonnet-4-20250514';
// 从环境变量获取
const provider = (process.env.AI_PROVIDER as ProviderType) || 'anthropic';
const anthropicApiKey = process.env.ANTHROPIC_API_KEY;
const deepseekApiKey = process.env.DEEPSEEK_API_KEY;
const model = process.env.AI_MODEL;
const maxTokens = parseInt(process.env.AI_MAX_TOKENS || '4096', 10);
// 如果环境变量没有,尝试从配置文件读取
// 从配置文件读取
let storedConfig: StoredConfig = {};
if (fs.existsSync(CONFIG_FILE)) {
try {
@@ -45,18 +55,32 @@ export function loadConfig(): AgentConfig {
}
}
const finalApiKey = apiKey || storedConfig.apiKey;
// 确定最终的 provider
const finalProvider = storedConfig.provider || provider;
// 根据 provider 获取对应的 API Key
let finalApiKey: string | undefined;
if (finalProvider === 'anthropic') {
finalApiKey = anthropicApiKey || storedConfig.apiKey;
} else if (finalProvider === 'deepseek') {
finalApiKey = deepseekApiKey || storedConfig.deepseekApiKey;
}
if (!finalApiKey) {
console.error('❌ 错误: 未设置 ANTHROPIC_API_KEY');
console.error('请设置环境变量: export ANTHROPIC_API_KEY=your-api-key');
console.error('或运行: ai-assist --init 进行初始化配置');
const envVar = finalProvider === 'anthropic' ? 'ANTHROPIC_API_KEY' : 'DEEPSEEK_API_KEY';
console.error(`❌ 错误: 未设置 ${envVar}`);
console.error(`请设置环境变量: export ${envVar}=your-api-key`);
console.error('或运行: ai-assist init 进行初始化配置');
process.exit(1);
}
// 确定模型
const finalModel = model || storedConfig.model || DEFAULT_MODELS[finalProvider];
return {
provider: finalProvider,
apiKey: finalApiKey,
model: storedConfig.model || model,
model: finalModel,
maxTokens: storedConfig.maxTokens || maxTokens,
systemPrompt: DEFAULT_SYSTEM_PROMPT,
};
@@ -91,24 +115,52 @@ export async function initConfig(): Promise<void> {
console.log('\n🔧 初始化 AI Terminal Assistant 配置\n');
// 选择 provider
const { provider } = await inquirer.prompt([
{
type: 'list',
name: 'provider',
message: '选择 AI 服务商:',
choices: [
{ name: 'Anthropic (Claude)', value: 'anthropic' },
{ name: 'DeepSeek', value: 'deepseek' },
],
default: 'anthropic',
},
]);
// 根据 provider 显示不同的模型选项
const modelChoices =
provider === 'anthropic'
? [
{ name: 'Claude Sonnet 4 (推荐,平衡性能和成本)', value: 'claude-sonnet-4-20250514' },
{ name: 'Claude Opus 4 (最强,成本较高)', value: 'claude-opus-4-20250514' },
{ name: 'Claude 3.5 Haiku (快速,成本低)', value: 'claude-3-5-haiku-20241022' },
]
: [
{ name: 'DeepSeek Chat (推荐)', value: 'deepseek-chat' },
{ name: 'DeepSeek Reasoner (推理增强)', value: 'deepseek-reasoner' },
];
const apiKeyField = provider === 'anthropic' ? 'apiKey' : 'deepseekApiKey';
const apiKeyMessage =
provider === 'anthropic'
? '请输入你的 Anthropic API Key:'
: '请输入你的 DeepSeek API Key:';
const answers = await inquirer.prompt([
{
type: 'password',
name: 'apiKey',
message: '请输入你的 Anthropic API Key:',
validate: (input: string) =>
input.length > 0 || 'API Key 不能为空',
name: apiKeyField,
message: apiKeyMessage,
validate: (input: string) => input.length > 0 || 'API Key 不能为空',
},
{
type: 'list',
name: 'model',
message: '选择默认模型:',
choices: [
{ name: 'Claude Sonnet 4 (推荐,平衡性能和成本)', value: 'claude-sonnet-4-20250514' },
{ name: 'Claude Opus 4 (最强,成本较高)', value: 'claude-opus-4-20250514' },
{ name: 'Claude 3.5 Haiku (快速,成本低)', value: 'claude-3-5-haiku-20241022' },
],
default: 'claude-sonnet-4-20250514',
choices: modelChoices,
default: DEFAULT_MODELS[provider as ProviderType],
},
{
type: 'number',
@@ -118,7 +170,7 @@ export async function initConfig(): Promise<void> {
},
]);
saveConfig(answers);
saveConfig({ provider, ...answers });
console.log('\n✅ 配置已保存到', CONFIG_FILE);
console.log('现在可以运行 ai-assist 开始使用了!\n');
}